And is currently on the third generation of its Digital Living Plan (DLP) Model a knowledge model which captures all the details of plans, missions, objectives, constraints, and allocated resources. It includes aspects of planning, such as the TPFDD of movement tasks and missions having Earliest Arrival Date (EAD) and Latest Arrival Date (LAD) as well as aspects of execution such as tasks and missions having an Actual Start and Actual End date.
CSI’s digital living plan is both a concept and a technology. The knowledge model for the digital living plan allows us to represent the plan in a knowledge graph form that is tied to the situation. More importantly, it is a semantically grounded knowledge representation that represents more than just the plan in digital format, it breaks out the concepts of task requirements, task allocations, objective, constraints, restraints, and many more. The representations are computable and grounded, allowing machines to understand and reason over them, for example being able to monitor automatically to ensure planning constraints, restraints, and assumptions are not violated. This also allows the machine to support humans in the construction, execution, monitoring, and in execution refinement of plans. The digital living plan is also a bridge: Bridging planning and execution; Ops, Log, and Intel communities, echelons such as Tactical, Operational and Strategic; and organizations such as Services, Partners, and Allies. Most importantly, using HCAI techniques, it bridges Autonomy with Human Operators.
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